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Found 422 Skills
Read a story file and implement it. Loads the full context (story, GDD requirement, ADR guidelines, control manifest), routes to the right programmer agent for the system and engine, implements the code and test, and confirms each acceptance criterion. The core implementation skill — run after /story-readiness, before /code-review and /story-done.
Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
This skill should be used when the user requests to "initialize team", "create development team", "team init", "form a team", or "start project team". It collects project information through interactive Q&A and creates an Agent engineering team with professional roles. 8 team types are supported: software development, software testing, reverse engineering, debugging/bug fixing, security research, CTF competition, software and server operation & maintenance, discussion/seminar.
Analyze GitHub issue content, assess its priority, identify missing information, and provide clear reproduction steps or triage advice. Trigger when the user asks to triage an issue, analyze a bug report, or asks 'how should I respond to this issue'.
Semantic code search, relationship mapping, and codebase intelligence. Provides deep code analysis including symbol search, dependency tracking, change impact analysis, and codebase Q&A.
Prepares for "reverse system design" rounds where you present YOUR past technical work. Use for project selection, narrative arc structuring, whiteboard diagrams, depth calibration, and hostile Q&A handling. Activate on "tech presentation", "present your work", "reverse system design", "project deep dive". NOT for designing hypothetical systems, resume writing, or career narrative extraction.
Generate a complete conference proposal through a structured brainstorming Q&A. Produces abstract, extended abstract, title variants, and learning outcomes — calibrated to the session format and grounded in your DevRel context.
GitHub-dark + JetBrains Mono + 终端代码块, 含 agenda + Q&A
Create, read, edit .pptx decks, slides, notes, templates.
Interactive exploration of ideas through Socratic Q&A. Produces progressive documents that serve as lightweight pre-PRDs feeding into research.
Local RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine.